Literature DB >> 7601543

Decision support in healthcare.

P D Clayton1, G Hripcsak.   

Abstract

To address the recognized problems associated with information overload and limited human memory, computer-based systems which help healthcare providers use information to make better decisions have been developed and implemented. These decision aids are designed to improve the quality and reduce the cost of healthcare. Currently, the most widely used computer application is to simply provide needed facts about the patient in an organized and timely fashion. Additionally, healthcare workers can access literature, ask questions of aggregates of patient data for clinical or administrative decisions, receive warnings or suggestions when the patient's data satisfy certain logical rules receive critiques when proposing therapies or ordering diagnostic tests, receive guidelines for standards of care, access programs which analyze tradeoffs and likelihoods of alternative outcomes (decision analysis) and receive lists of differential diagnoses. Given this wonderful panoply of capabilities, the question becomes 'why aren't more people using these aids and what are the demonstrated benefits of such capabilities?' In this paper we review the types of decision aids which have been successfully implemented and the challenges to implementation (knowledge representation, connections to databases, need for comprehensive, coded databases and evaluation of benefits).

Entities:  

Mesh:

Year:  1995        PMID: 7601543     DOI: 10.1016/0020-7101(94)01080-k

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  7 in total

1.  Influence of case and physician characteristics on perceptions of decision support systems.

Authors:  E S Berner; R S Maisiak
Journal:  J Am Med Inform Assoc       Date:  1999 Sep-Oct       Impact factor: 4.497

2.  Toward a standard for guideline representation: an ontological approach.

Authors:  D M Pisanelli; A Gangemi; G Steve
Journal:  Proc AMIA Symp       Date:  1999

3.  OzCare: a workflow automation system for care plans.

Authors:  W Lee; G E Kaiser; P D Clayton; E H Sherman
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

4.  HyperCare: a prototype of an active database for compliance with essential hypertension therapy guidelines.

Authors:  P V Caironi; L Portoni; C Combi; F Pinciroli; S Ceri
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

5.  Time series analysis as input for clinical predictive modeling: modeling cardiac arrest in a pediatric ICU.

Authors:  Curtis E Kennedy; James P Turley
Journal:  Theor Biol Med Model       Date:  2011-10-24       Impact factor: 2.432

6.  Relationship between quality of care and choice of clinical computing system: retrospective analysis of family practice performance under the UK's quality and outcomes framework.

Authors:  Evangelos Kontopantelis; Iain Buchan; David Reeves; Kath Checkland; Tim Doran
Journal:  BMJ Open       Date:  2013-08-02       Impact factor: 2.692

7.  Experience with Integrating Diagnostic Decision Support Software with Electronic Health Records: Benefits versus Risks of Information Sharing.

Authors:  Michael M Segal; Alanna K Rahm; Nathan C Hulse; Grant Wood; Janet L Williams; Lynn Feldman; Gregory J Moore; David Gehrum; Michelle Yefko; Steven Mayernick; Roger Gildersleeve; Margie C Sunderland; Steven B Bleyl; Peter Haug; Marc S Williams
Journal:  EGEMS (Wash DC)       Date:  2017-12-06
  7 in total

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